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Sensors 2016, 16(2), 154; doi:10.3390/s16020154

The Local Integrity Approach for Urban Contexts: Definition and Vehicular Experimental Assessment

Istituto Superiore Mario Boella (ISMB), Via P.C. Boggio 61, Torino 10138, Italy
These authors contributed equally to this work.
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Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Received: 26 November 2015 / Revised: 13 January 2016 / Accepted: 15 January 2016 / Published: 26 January 2016
(This article belongs to the Special Issue Sensors for Autonomous Road Vehicles)
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Abstract

A novel cooperative integrity monitoring concept, called “local integrity”, suitable to automotive applications in urban scenarios, is discussed in this paper. The idea is to take advantage of a collaborative Vehicular Ad hoc NETwork (VANET) architecture in order to perform a spatial/temporal characterization of possible degradations of Global Navigation Satellite System (GNSS) signals. Such characterization enables the computation of the so-called “Local Protection Levels”, taking into account local impairments to the received signals. Starting from theoretical concepts, this paper describes the experimental validation by means of a measurement campaign and the real-time implementation of the algorithm on a vehicular prototype. A live demonstration in a real scenario has been successfully carried out, highlighting effectiveness and performance of the proposed approach. View Full-Text
Keywords: local integrity; local protection levels; prototype; Global Navigation Satellite System; Vehicular Ad hoc Network local integrity; local protection levels; prototype; Global Navigation Satellite System; Vehicular Ad hoc Network
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Margaria, D.; Falletti, E. The Local Integrity Approach for Urban Contexts: Definition and Vehicular Experimental Assessment. Sensors 2016, 16, 154.

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